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WEX logo
WEX

Simplifying the business of running a business.

Staff Software Engineer – Semantic Data Lake

Full-stack EngineerSoftware EngineerOtherRemoteLeadTeam 5,001-10,000Since 1983H1B SponsorCompany SiteLinkedIn

Location

California + 5 moreAll locations: California | Illinois | Maine | Massachusetts | Texas | Washington

Posted

117 days ago

Salary

$140.6K - $173.1K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishPythonScalaSQL

Job Description

Staff Software Engineer – Semantic Data Lake

WEX

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains. • Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets. • Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets. • Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models. • Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage. • Help define and enforce standards for data modeling, documentation, and governance within the semantic layer. • Collaborate across teams to integrate with ingestion, MDM, and data product layers.

Job Requirements

  • 8+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.
  • Strong proficiency in SQL and at least one general-purpose language such as Python or Scala.
  • Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects.
  • Solid understanding of data quality practices —including validation, enrichment, schema enforcement, and business rule encoding.
  • Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability.
  • Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability.
  • A mindset for traceability, reproducibility, and semantic clarity —you build data models others can trust and reuse.
  • Bachelor's degree in Computer Science, Software Engineering, or related field; A Master's or PhD in the areas of Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics, it will be a big plus.

Benefits

  • health, dental and vision insurances
  • retirement savings plan
  • paid time off
  • health savings account
  • flexible spending accounts
  • life insurance
  • disability insurance
  • tuition reimbursement
  • and more.

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